Short-Time Fourier Transform (STFT) Source Code Implementation

This source program implements the Short-Time Fourier Transform (STFT) in MATLAB environment, suitable for radar and ultrasonic signal analysis, as well as digital signal processing (DSP) learning and research. The implementation utilizes windowing functions and sliding frame techniques to analyze time-varying signal characteristics, providing essential algorithm understanding for non-stationary signal processing. By using this program, you can deeply understand the principles and applications of STFT while mastering related algorithms and signal processing techniques. The code demonstrates key functions including signal windowing, Fourier transformation implementation, and time-frequency analysis methods. You can modify and optimize the program according to specific requirements to adapt to different application scenarios and signal characteristics, such as adjusting window sizes, overlap parameters, or frequency resolution settings. This implementation serves as an educational tool to expand your knowledge and skills in radar signal processing, ultrasonic analysis, and DSP domains, providing practical coding examples for time-frequency analysis and spectral computation techniques commonly used in signal processing applications.